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Implement neural network models in R 3.5 using TensorFlow, Keras, and MXNet Key Features Use R 3.5 for building deep learning models for;
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Explore the world of neural networks by building powerful deep learning models using the R ecosystem Key Features Get to grips with the;
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algorithms for unsupervised data using deep learning concepts with R * Master the common problems faced such as overfitting of data, anomalous;
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Discover best practices for choosing, building, training, and improving deep learning models using Keras-R, and TensorFlow-R libraries Key;
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regard to learning and formulating appropriate interventions for specific learning difficulties. Essentials of Processing Assessment, the latest;
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Powerful, independent recipes to build deep learning models in different application areas using R libraries About This Book * Master;
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other previously impossible applications. Deep Learning with R is for developers and data scientists with some R experience who;
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Explore and implement deep learning to solve various real-world problems using modern R libraries such as TensorFlow, MXNet, H2O, and;
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Get to grips with the essentials of deep learning by leveraging the power of Python Key Features Your one-stop solution to get started with;
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If you want to learn how to develop effective machine learning solutions to your business problems in R, this book is for you. It would be;
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Tackle the complex challenges faced while building end-to-end deep learning models using modern R libraries Key Features Understand the;
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Examine the latest technological advancements in building a scalable machine-learning model with big data using R. This second edition;
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. Introduction to Deep Learning Using R provides a theoretical and practical understanding of the models that perform these tasks by building upon the;
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This book explores various applications of deep learning-oriented diagnosis leading to decision support, while also outlining the future;
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This book explores various applications of deep learning-oriented diagnosis leading to decision support, while also outlining the future;
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learning by implementing practical projects in R will find this book a useful resource. A knowledge of R programming and the basic concepts of deep;
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operations management. Also available/ Pair this text with MyLab (R) Operations Management MyLab is the teaching and learning platform that;
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building a small business. Pair this text with MyLab (R) Entrepreneurship. MyLab is the teaching and learning platform that empowers you to reach;
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assets and markets and correlates them with enterprises' profitability * Introduces advanced and novel machine learning techniques in finance;
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assets and markets and correlates them with enterprises' profitability * Introduces advanced and novel machine learning techniques in finance;
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Solve real-world data problems with R and machine learning Key Features Third edition of the bestselling, widely acclaimed R machine;
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Master machine learning techniques with R to deliver insights in complex projects About This Book * Understand and apply machine;
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Discover Your Roots Whether you drive a truck, wait tables, work in an office, or ferry the kids ;...
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Dive into the future of data science and learn how to build the sophisticated algorithms that are fundamental to deep learning and AI with;
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requirements of Fire Fighter I and II levels of NFPA 1001 (R), NFPA 472 (R) and OSHA 1910.120. The 7th Edition offers a complete support package;
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This book focuses on how to effectively integrate the teaching and learning of visual and media literacies in K-12 and higher education;
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